Too much of a good thing: Endogenous business cycles generated by bounded technological progress

Following Jones and Williams [Jones, C.I., Williams, J., 2000. Too much of a good thing? The economics of investment in R&D. Journal of Economic Growth vol. 5 (no. 1), 65–85], we assume that R&D is simultaneously subject to positive and to negative external effects (e.g., the non-rival nature of technology conflicts with congestion externalities). This observation allows to conceive an economy where two R&D sectors evolve without departing significantly from each other in terms of their productive results (society tends to penalize imbalances in technical progress, making negative external effects to appear associated to a sector when this outstands relatively to the other sector; the second sector, in turn, will be subject to positive externalities that reflect a catching up effect). The proposed framework, when associated to a growth setup, is able to replicate the existence of endogenous fluctuations and, therefore, it intends to be a contribution to the literature on endogenous business cycles.     

Endogenous Growth Cycles in Continuous Time

The endogenous dynamics of a closed constant returns multi-market economy are examined in which agents face downward sloping demand. The trigger for growth in this model is a technological change that warrants costly adjustment in input quantities by agents. In the resulting dynamic game, relative prices within markets remain constant. Consequently, all own price elasticities are constant. In markets characterized by lower cost of capital the unique outcome is collusion in which agents do not incur adjustment cost and there is no adoption of new technology. But in other markets a unique non-cooperative equilibrium exists in which agents do incur the cost of adopting the new technology. Only three specifications of adjustment costs are feasible. Output increases along an S-shaped time path with or without a non-explosive cyclical component.     

Dynamic employment adjustments over business cycles

This paper uses U.S. monthly industrial production employment data between 1964 and 2000 to examine the dynamic labor adjustments of production workers and nonproduction workers in both the short and long-run. The results from the short-run analysis show that the dynamic adjustment of production workers is consistent with business cycles. However, the adjustment of nonproduction workers is relatively fixed, lags behind the shocks over business cycle changes, and exhibits the quasi-fixed factor property. In the long-run, we found that nonproduction workers and production workers are cointegrated indicating that the two series are in long-run equilibrium.First version received: March 2002/Final version received: November 2003We would like to thank James McClure, participants in the Economics Department seminar series at Ball State University, and an anonymous referee for their comments and suggestions.     

Multi-dimensional risk and the cost of business cycles

This paper analyzes the welfare costs of business cycles when workers face uninsurable idiosyncratic labor income risk. In accordance with the previous literature, this paper decomposes labor income risk into an aggregate and an idiosyncratic component, but in contrast to the previous literature, this paper allows for multiple sources of idiosyncratic labor income risk. Using the multi-dimensional approach to idiosyncratic risk, this paper provides a general characterization of the welfare cost of business cycles when preferences and the (marginal) process of individual labor income in the economy with business cycles are given. The general analysis shows that the introduction of multiple sources of idiosyncratic risk never decreases the cost of business cycles, and strictly increases it if there are cyclical fluctuations across the different sources of risk. This paper also provides a quantitative analysis based on a version of the model that is calibrated to match US labor market data. The quantitative analysis suggests that realistic variations across two particular dimensions of idiosyncratic labor income risk increase the welfare cost of business cycles by a substantial amount.     

Determinants of co-movement and of lead and lag behavior of business cycles in the Eurozone

In this paper we study business cycle correlations in the Eurozone and its determinants. Additionally, we also analyze the determinants of the lead and lag behavior of business cycles in the Eurozone. We explore the relevance, in the Eurozone context, using GDP and employment as the business cycle measures, of the determinants of business cycle synchronization identified in the literature, namely bilateral trade intensity, dissimilarity of labor market rigidity, dissimilarity in industrial structures, financial openness, and foreign direct investment relations. We estimate a simultaneous 4-equations model by Ordinary Least Squares (OLS) and three-stage least square to investigate empirically the above-mentioned determinants of business cycle correlation. Bilateral trade relations present a positive influence on business cycle correlations, while the dissimilarity of labor market rigidity presents a negative influence. The rest of the above-mentioned variables are non-significant. These results are robust to the use of the Hodrick–Prescott-filter and first differences as the de-trending methods, as well as the use of GDP as the business cycle measure, excluding the financial crisis years (2008 and 2009). Results for employment as the business cycle measure are in contrast with the previous ones, and found industrial dissimilarity to be the relevant variable to determine business cycles synchronization. In what concerns the determinants of the lead and lag behavior, results show that the member states of the Eurozone that usually lead the cycle are the ones that are wealthier, with strict employment legislation, more specialized in construction and finance sectors, and more prone to international capital movements. Differences in the determinants between contemporaneous business cycles and lead and lag behavior of business cycles are especially important for policy-makers in the Eurozone to know about, in particular if asymmetric shocks between countries are set in place.     

Growth and welfare effects of business cycles in economies with idiosyncratic human capital risk

This paper uses a tractable macroeconomic model with idiosyncratic human capital risk and incomplete markets to analyze the growth and welfare effects of business cycles. The analysis is based on the assumption that the elimination of business cycles eliminates the variation in idiosyncratic risk. The paper shows that a reduction in the variation in idiosyncratic risk decreases the ratio of physical to human capital and increases the total investment return and welfare. If the degree of risk aversion is less than or equal to one, then economic growth is enhanced. This paper also provides a quantitative assessment of the macroeconomic effects of business cycles based on a calibrated version of the model. Even for relatively small degrees of risk aversion (around one) the model implies that the elimination of business cycles has substantial effects on investment in physical and human capital, economic growth, and welfare.     

New directions in business cycle research and financial analysis

This paper serves as a partial introduction to and survey of the literature on Markov-switching models. We review the history of this class of models, describe their mathematical structure, and exposit the basic ideas behind estimation and inference. The paper also describes how the approach can be extended in a variety of directions, such as non-Gaussian distributions, time-varying transition probabilities, vector processes, state-space and GARCH models, and surveys recent methodological advances. The contributions of the other papers in this volume are reviewed. A final section offers conclusions and implications for policy. First Version Received: August 2001/Final Version Received: October 2001     

Global indeterminacy in an endogenous-growth model with public capital

This paper studies the patterns of growth in an endogenous-growth model where the labor supply is endogenous and sustained growth arises because the services derived from public capital increase the economic productivity. It is assumed that these services are congested by the number of households in the economy but they are not congested by the units of time that each household devotes to work. With this assumption, the dynamic equilibrium exhibits multiple balanced-growth paths, local and global indeterminacy, and limit cycles under some plausible fiscal policies. Our analysis points out that a large lump-sum tax is a necessary condition to obtain this complex equilibrium dynamic behavior.     

A structural VAR business cycle model for a volatile small open economy

New Zealand is a small economy exposed to a volatile climate, relatively volatile international trade prices, and its exposure to international financial markets has increased markedly since economic reforms in the 1980s. This paper applies identification techniques suggested by Cushman and Zha [Cushman, D.O. and Zha T.A., 1997. Identifying monetary policy in a small open economy under flexible exchange rates, Journal of Monetary Economics, 39, pp. 433–448.], Zha [Zha, T.A., (1999). Block recursion and structural vector autoregression, Journal of Econometrics, 90, pp. 291–316.] and Dungey and Pagan [Dungey, M. and Pagan, A., 2000. A structural VAR model of the Australian economy, The Economic Record, 76, pp. 321–342.] to develop a large four block structural VAR model of the New Zealand business cycle to capture these features. The model reveals that climate and international trade price shocks have been more important sources of business cycles fluctuations than international or domestic financial shocks. Furthermore, the model does not encounter the price and exchange rate puzzles that have bedevilled attempts to identify monetary policy shocks in small open economy SVAR models.     

Inequality,emulation and debt: The occurrence of different growth regimes in the age of financialization in a stock-flow consistent model

In the era of financialization, increasing income inequality could be observed in most developed and many developing countries. Despite similar developments in inequality, the growth performance and drivers for growth differed markedly among countries, allowing clusters of different growth regimes to be identified. Among them are 2 extreme types: the debt-led private-demand boom and the export-led mercantilist economies. Whereas the former rely mainly on credit-financed household consumption in order to compensate for the potential lack of demand (associated with the depressing effect of financialisation), the latter rely on net exports as the main driver of aggregate demand. Using a stock-flow consistent model it will be demonstrated how increasing inequality, depending on a countries institutional structure and regulatory framework, affects growth differently, explaining the occurrence of both regime types.     

Nonlinear dynamism of innovation and business cycles

The aim of this paper is to describe the nonlinear dynamism of innovation and to clarify the role of innovation for economic development in terms of Kondratiev business cycles, especially the causal relation of the bubble economy and depressions with innovations. Any paradigm of technological innovation develops within a definite time span reaching maturity. This nonlinear nature clarifies many characteristic features of innovation. Schumpeters innovation theory on business cycles is examined through this dynamism. Trunk innovation is defined as that which plays a decisive role in building infrastructures and inducing subsequent innovations. Every innovation has its own technological development period just before the innovation diffusion. The emergence of new markets can be estimated by chasing the ongoing technologies.JEL Classification: E32, L16, O11, O14, O30Paper presented at the 9th Conference of the International J.A. Schumpeter Society, Gainesville, Florida, USA.Previous affiliation was Ryutsu Kagaku University, Faculty of Information Science, Kobe, Japan.     

Modeling technological innovation risks of an entrepreneurial team using system dynamics: An agent-based perspective

Continuous technological innovation has been playing a vital role in ensuring the survival and development of an enterprise in today's economy. This paper studies the problem of technological innovation risk-based decision-making from an entrepreneurial team point of view. We identify the differences between this team decision-making and a traditional individual decision-making problem, where decisions are mainly affected by the decision-maker's risk and value perceptions, and risk preferences. We create a modeling framework for such a new problem, and use system dynamics theory to model it from the agent-based modeling perspective. The proposed approach is validated by a case study of the technological innovation risk decision-making in a Chinese automobile company.     

Asymmetric information, financial intermediation, and business cycles

Summary. This incorporates a debt contracting problem with asymmetric information into a standard monetary business cycle model. The model incorporates a limited participation assumption in order to induce a liquidity effect of monetary shocks and propagate monetary disturbances. The model economy shows that a positive money supply shock generates a decrease in nominal interest rates and an increase in output level. Asymmetric information amplifies the response of capital to the money supply shock, but does not propagate them in other ways. When the monetary shock is an innovation in reserve requirements, it induces a persistent response of the economy. Received: March 20, 1998; revised version: 1 April 1998     

Consumption,wealth and business cycles in Germany

This paper studies the long-run relationship between consumption, asset wealth and income—the consumption–wealth ratio—based on German data from 1980 to 2003. We find that departures from this long-run relationship mainly predict adjustments in income. The German consumption–wealth ratio also contains considerable forecasting power for a range of business cycle indicators, including the unemployment rate. This finding is in contrast to earlier studies for some of the Anglo-Saxon economies that have shown that the consumption–wealth ratio reverts to its long-run mean mainly through subsequent adjustments in asset prices. While the German consumption wealth ratio contains little information about future changes in German asset prices, we report that the U.S. consumption–wealth ratio has considerable forecasting power for the German stock market. One explanation of these findings is that in Germany—due to structural differences in the financial and pension systems—the share of publicly traded equity in aggregate household wealth is much smaller than in the Anglo-Saxon countries. We discuss the implications of our results for the measurement of a potential wealth effect on consumption. The views expressed in this paper are those of the authors and do not reflect the position of the Deutsche Bundesbank. We gratefully acknowledge comments and suggestions from an anonymous referee as well as from Heinz Herrmann, Helmut Lütkepohl, the editor, Baldev Raj, Burkhard Raunig, Monika Schnitzer, Harald Uhlig and Christian Upper. We also benefitted from comments by seminar participants at the ECB, the Deutsche Bundesbank, the CESifo Macro, Money and International Finance Area Conference 2005, the EEA 2005 annual congress and at the 2005 IAEA Meetings. Last but not least, we would like to thank Mark Weth for very useful information concerning the construction of the financial wealth data. Hoffmann’s work on this paper is also part of the project The International Allocation of Risk funded by Deutsche Forschungsgemeinschaft in the framework of SFB 475. Responsibility for any remaining errors and shortcomings is entirely our own.     

Graphical causal models and VARs: an empirical assessment of the real business cycles hypothesis

This paper assesses the empirical plausibility of the real business cycle view that shocks to real variables are the dominant sources of economic fluctuations and that monetary policy shocks play an insignificant role in determining the behavior of real variables. I reconsider the vector autoregressive model of King et al. (Am Econ Rev 81:819–840, 1991), but propose an alternative identification method, based on graphical causal models. This method selects the contemporaneous causal structure using the information incorporated in the partial correlations among the residuals. The residuals orthogonalization which follows and the study of the impulse response functions confirm the results of King et al. (Am Econ Rev 81:819–840, 1991): permanent productivity shocks are not the dominant sources of aggregate fluctuations in US economy. I would like to thank Peter Spirtes, Marco Lippi, and Clark Glymour for helpful comments on early versions of the paper. I am also grateful to Valentina Corradi for providing me with an updated version of the King et al. (1991) data set. The usual disclaimer applies.     

Balanced cycles in an OLG model with a continuum of finitely-lived individuals

This paper studies the intertemporal equilibrium of a barter economy populated with a continuum of finitely-lived overlapping generations. Assuming isoelastic preferences and zero endowments at the beginning and the end of the individuals’ life-span, it proves the existence of an Hopf bifurcation and provides sufficient conditions on parameters for its occurrenceThe authors would like to thank an anonymous referee, Alain Venditti and Francesco Ricci for helpful comments and suggestions     

Testing for deterministic and stochastic cycles in macroeconomic time series

In this paper we use a statistical procedure which is appropriate to test for deterministic and stochastic (stationary and nonstationary) cycles in macroeconomic time series. These tests have standard null and local limit distributions and are easy to apply to raw time series. Monte Carlo evidence shows that they perform relatively well in the case of functional misspecification in the cyclical structure of the series. As an example, we use this approach to test for the presence of cycles in US real GDP.      

Multiple steady states,indeterminacy, and cycles in a basic model of endogenous growth

The goal of this paper is to demonstrate that a basic model of endogenous growth with learning by doing may produce a rich array of outcomes. Starting point of our analysis is the Romer (1986a) approach. In contrast to Romer, however, we assume that one unit of investment shows different effects concerning the building up of physical and human capital, so that these variables cannot be merged into one single variable. With this assumption, it can be shown that multiple steady states, indeterminacy of equilibria, and persistent cycles may result in our model.     

Classical and modern business cycle measurement: The European case

This paper intends to harmonize two different approaches employed in the analysis of business cycles and, in doing so, it retrieves the stylized facts of the business cycle in Europe. We start with the classical approach proposed in Burns and Mitchell (1946) of dating and analyzing the business cycle. The stylized facts retrieved are commented and compared to those obtained by Harding and Pagan (2002) for the U.S.. Two conclusions can be extracted from the results: a) though the turning points obtained for individual countries seem to cluster and would suggest the idea of a common cycle, there are relevant differences in the stylized facts characterizing the business cycle in the individual European economies under analysis; b) moreover, we find relevant differences in the business cycle stylized facts of the European countries and the U.S., mostly in terms of the duration, the amplitude of the cycle and the shape of the recovery. We then adopt the modern alternative: the Markov-switching vector autoregression (MS-VAR). The models regime probabilities provide an optimal statistical inference of the turning point of the European business cycle. For assessing the capacity of the parametric approach to generate the stylized facts of the classical cycle in Europe, the stylized facts of the original data are compared to those of simulated data. Contrary to the results reported by Harding and Pagan (2002) , we show that the MS-VAR model is a good candidate to be used as an statistical instrument to improve the understanding of the business cycle.JEL Classification: E32, F43, F47, C32We are grateful to Mike Artis, Mike Clements and Adrian Pagan for useful comments and discussions. Financial support from the UK Economic and Social Research Council under grant L116251015 is gratefully acknowledged by the first author. The research of the second author was supported through a European Community Marie Curie Fellowship, contract HPMF-CT-2000-00761. Corresponding author: Juan Toro     

Endogenous Verifiability and Optimality in Agency

This paper investigates the optimal contract design in a principal-agent model where verification of an agent's action is endogenously determined through strategic interactions between contracting parties. We derive a necessary and sufficient condition for the first best outcome to be implemented as an equilibrium. The equilibrium has the following features: (i) The action level that the agent chooses is not verified even if it is possible. (ii) Nevertheless, the first best can be attained by making a contract contingent on the unverified action. Journal of Economic Literature Classification Numbers: D20, K40.